3 papers
stat.ME2026
Identification and estimation of causal mechanisms in cluster-randomized trials with post-treatment confounding using Bayesian nonparametrics
Yuki Ohnishi, Michael J. Daniels, Lei Yang +1
Causal mediation analysis in cluster-randomized trials (CRTs) is essential for explaining how cluster-level interventions affect individual outcomes, yet it is complicated by inter…
stat.ME2026
A sensitivity analysis approach to principal stratification with a continuous longitudinal intermediate outcome: Applications to a cohort stepped wedge trial
Lei Yang, Michael J. Daniels, Fan Li
Causal inference in the presence of intermediate variables is a challenging problem in many applications. Principal stratification (PS) provides a framework to estimate principal c…
stat.ME2025
Integrating tumor burden with survival outcome for treatment effect evaluation in oncology trials
Saurabh Bhandari, Michael J. Daniels, Chenguang Wang
In early-phase cancer clinical trials, the limited availability of data presents significant challenges in developing a framework to efficiently quantify treatment effectiveness. T…